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Businesses Rush to Embed Generative AI as Data Shortfalls and EU Rules Bite

Regulators are enforcing transparency rules that force firms to fix fragmented data, governance, security before scaling AI.

Overview

  • Companies report broad use of AI and generative models across functions, with the Stanford AI Index showing high self‑reported adoption and firms piloting agents for marketing, sales and service.
  • Many organizations cannot turn data into real‑time insight, with surveys in Mexico finding fragmented, insecure data and limited internal talent are the main barriers to extracting value from AI.
  • The European Union began applying AI Act transparency obligations on August 2, requiring people be told when they interact with a machine and prompting banks to tighten lifecycle controls and preserve human judgment in important credit decisions.
  • Public institutions and security bodies are raising new concerns: Mexico’s education survey shows large use of chatbots for emotional support, and Peru’s cyber units warn that deepfake‑enabled romance scams and broader online fraud are rising.
  • Analysts say the next phase is practical: firms must sequence a data‑first approach, strengthen governance and upskill workers to capture benefits safely, while policymakers and banks set sectoral timelines for higher‑risk rules.